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GitHub / kjappelbaum / pyepal

Multiobjective active learning with tunable accuracy/efficiency tradeoff and clear stopping criterion.

JSON API: https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/kjappelbaum%2Fpyepal

Stars: 36
Forks: 4
Open Issues: 25

License: apache-2.0
Language: Python
Repo Size: 10.5 MB
Dependencies: 10

Created: about 4 years ago
Updated: 22 days ago
Last pushed: about 1 month ago
Last synced: 3 days ago

Commit Stats

Commits: 329
Authors: 9
Mean commits per author: 36.56
Development Distribution Score: 0.316
More commit stats: https://commits.ecosyste.ms/hosts/GitHub/repositories/kjappelbaum/pyepal

Topics: active-learning, hacktoberfest, machine-learning, multiobjective, pareto, python

Files
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    Readme
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    Dependencies
    .github/workflows/codeql.yml actions
    .github/workflows/pre_commit.yml actions
    .github/workflows/python_package.yml actions
    .github/workflows/release_me.yml actions
    docs/_build/html/_static/fonts/source-serif-pro/bower.json bower
    pyproject.toml pypi
    setup.py pypi